Reference no: EM133964066

Instruction

This is an individual assignment and therefore must be completed by the individual student without outside assistance. In order to complete the assignment, first read the write-up for the "Know Knead" case study. Then, answer the questions listed below for each part of the case.
Part 1 questions refer to the 2 years leading up to the opening of the new call center (described in the case study).

Part 2 questions refer to staffing using weekly data based on the first 13 weeks of operation after opening the call center.

Part 3 interpret the output from Part 2 and provide recommendations.

Calculations are provided for this assignment. You do not need to conduct your own.

Part 1

Question 1a: Define a problem statement which reflects the challenge facing Segio as he planned for the opening of the new center.

Question 1b: Why was Segio's initial forecast of call volume so far off? What could have been the reasons for this?

Question 1c: What could Corey have done differently to improve his initial forecast? Get reliable and affordable assignment help today!  

Part 2
In answering the Part 2 questions, you should download and refer to Student Data File No. 1 which contains the historical data that was used in preparing the forecast results that are reported in Part 2 of the case write-up document.

*Note that you do not have to prepare any forecasts in answering this question. Hint: it will be helpful for you to review a time-series plot of the 13 weeks of data contained on Student Data File No. 1.

Question 2a: Describe the details of the Last Value method used by Marina and explain its accuracy (MAD value) in comparison with the accuracy of the other methods. Explain how the two last value methods are different from each other

Question 2b: Describe the details of the Averaging method used by Marina and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2c: Describe the details of the Moving Average (5 days) method used by Marina and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2d: Describe the details of the Exponential Smoothing method used by Marina. Compare the accuracy of the two exponential smoothing models to each other and then to the other models. How and why do these two smoothing models differ from each other?

Part 3 (2 points):
Question 3: Based on the analysis above, provide your recommendations to Segrio on daily call volume forecasting to improve the scheduling of the call enter staff.